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Record W2600395519 · doi:10.1038/srep44585

The evolutionary and phylogeographic history of woolly mammoths: a comprehensive mitogenomic analysis

2017· article· en· W2600395519 on OpenAlexafffund
Dan Chang, Michael Knapp, Jacob Enk, Sebastian Lippold, Martin Kircher, Adrian M. Lister, R. D. E. MacPhee, Chris Widga, Paul Czechowski, Robert S. Sommer, Emily Hodges, Nikolaus Stümpel, Ian Barnes, Love Dalén, А. П. Деревянко, Mietje Germonpré, Alexandra Hillebrand‐Voiculescu, Silviu Constantin, Т. В. Кузнецова, Dick Mol, Thomas Rathgeber, Wilfried Rosendahl, Alexei Tikhonov, Eske Willerslev, Greg Hannon, Carles Lalueza‐Fox, Ulrich Joger, Hendrik N. Poinar, Michael Hofreiter, Beth Shapiro

Bibliographic record

VenueScientific Reports · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaLundbeckfondenCanada Research ChairsSight Research UKNatural Environment Research CouncilGordon and Betty Moore FoundationMax-Planck-GesellschaftDeutsche ForschungsgemeinschaftDavid and Lucile Packard Foundation
KeywordsMammothBeringiaPhylogeographyPleistoceneBiologyRange (aeronautics)Evolutionary biologyHolarcticPopulationDemographic historyPhylogeneticsZoologyPaleontologyGenetic variationGeneticsDemography

Abstract

fetched live from OpenAlex

Near the end of the Pleistocene epoch, populations of the woolly mammoth (Mammuthus primigenius) were distributed across parts of three continents, from western Europe and northern Asia through Beringia to the Atlantic seaboard of North America. Nonetheless, questions about the connectivity and temporal continuity of mammoth populations and species remain unanswered. We use a combination of targeted enrichment and high-throughput sequencing to assemble and interpret a data set of 143 mammoth mitochondrial genomes, sampled from fossils recovered from across their Holarctic range. Our dataset includes 54 previously unpublished mitochondrial genomes and significantly increases the coverage of the Eurasian range of the species. The resulting global phylogeny confirms that the Late Pleistocene mammoth population comprised three distinct mitochondrial lineages that began to diverge ~1.0-2.0 million years ago (Ma). We also find that mammoth mitochondrial lineages were strongly geographically partitioned throughout the Pleistocene. In combination, our genetic results and the pattern of morphological variation in time and space suggest that male-mediated gene flow, rather than large-scale dispersals, was important in the Pleistocene evolutionary history of mammoths.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.224
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations67
Published2017
Admission routes2
Has abstractyes

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